Abstract

In this study, a model-based predictive current control approach is used to provide FOC for a surface-mount permanent magnet synchronous motor (PMSM). Due to characteristics like their sinusoidal flux distribution, easy control design, and high torque to weight proportion, PMSMs are extensively used motors in the aerospace and automotive industries. For PMSMs, a variety of control methods are employed, such as direct torque control (DTC), field-oriented control (FOC), and others. FOC provides excellent steady and transient state performance by independently controlling the magnetizing and torque-producing stator currents. Multiple input multiple output (MIMO) systems use the sophisticated and challenging model predictive control (MPC) approach. The MPC predicts the future behavior of stator currents in the context of FOC. Then, using predefined optimization criteria, the motor is operated in the best manner feasible to provide the required response. A MATLAB/Simulink environment is used to analyze the suggested control system.

Full Text
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